Online COBOL to PySpark Converter
Click to select or drop your input code file here.
You can also type the input code below.
How to use this tool?
This free online converter lets you convert code from COBOL to PySpark in a click of a button. To use this converter, take the following steps -
- Type or paste your COBOL code in the input box.
- Click the convert button.
- The resulting PySpark code from the conversion will be displayed in the output box.
Examples
The following are examples of code conversion from COBOL to PySpark using this converter. Note that you may not always get the same code since it is generated by an AI language model which is not 100% deterministic and gets updated from time to time.
Example 1 - Is String Palindrome
Program that checks if a string is a palindrome or not.
COBOL
PySpark
Example 2 - Even or Odd
A well commented function to check if a number if odd or even.
COBOL
PySpark
Key differences between COBOL and PySpark
| Characteristic | COBOL | PySpark |
|---|---|---|
| Syntax | Verbose and English-like syntax, designed for readability. | Pythonic syntax, more concise and flexible. |
| Paradigm | Procedural and imperative programming. | Functional programming with support for distributed computing. |
| Typing | Strongly typed with explicit data types. | Dynamically typed, leveraging Python's type system. |
| Performance | Optimized for batch processing and transaction processing in legacy systems. | Designed for large-scale data processing, leveraging distributed computing for performance. |
| Libraries and frameworks | Limited modern libraries, primarily focused on business applications. | Rich ecosystem with numerous libraries for data analysis, machine learning, and big data. |
| Community and support | Smaller community, primarily in legacy systems and enterprise environments. | Large and active community, with extensive resources and support available. |
| Learning curve | Steeper learning curve for those unfamiliar with its syntax and paradigms. | Easier for those familiar with Python, but can be complex for distributed computing concepts. |
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